Daiki Takeuchi

22 papers and 258 indexed citations i.

About

Daiki Takeuchi is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Daiki Takeuchi has authored 22 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 9 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Daiki Takeuchi’s work include Speech and Audio Processing (14 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (8 papers). Daiki Takeuchi is often cited by papers focused on Speech and Audio Processing (14 papers), Music and Audio Processing (9 papers) and Speech Recognition and Synthesis (8 papers). Daiki Takeuchi collaborates with scholars based in Japan and China. Daiki Takeuchi's co-authors include Noboru Harada, Kohei Yatabe, Yuma Koizumi, Yasunori Ohishi, Kunio Kashino, Marc Delcroix, Yoshiki Masuyama, Yasuhiro Oikawa, Masahiro Yasuda and Yahei Koyamada and has published in prestigious journals such as The Journal of the Acoustical Society of America, Optics Express and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Daiki Takeuchi i

Fields of papers citing papers by Daiki Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daiki Takeuchi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daiki Takeuchi. The network helps show where Daiki Takeuchi may publish in the future.

Countries citing papers authored by Daiki Takeuchi

Since Specialization
Citations

This map shows the geographic impact of Daiki Takeuchi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daiki Takeuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiki Takeuchi more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2025